Clustering Algorithm for Detection in the Discrete Nonlinear Fourier Spectrum

Titel:: Clustering Algorithm for Detection in the Discrete Nonlinear Fourier Spectrum
Dokumenttyp:: Konferenzbeitrag
Autor(en):: Leible, Benedikt; García-Gómez, Francisco Javier; Hanik, Norbert
Abstract:: Expectation maximization clustering of received nonlinear spectral data from solitonic pulses is used to reduce bit error rates. Simulations over a 1800 km Raman amplified fiber link demonstrate the effectiveness of the method.
Kongress- / Buchtitel:: 45th European Conference on Optical Communication (ECOC 2019)
Jahr:: 2019
Monat:: Sep
Volltext / DOI:: doi:10.1049/cp.2019.0943
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